TY - JOUR
T1 - Coefficient of Variation Based Image Selective Segmentation Model Using Active Contours
AU - Noor Badshah, Ke Chen, Haider Ali & Ghulam Murtaza
JO - East Asian Journal on Applied Mathematics
VL - 2
SP - 150
EP - 169
PY - 2018
DA - 2018/02
SN - 2
DO - http://doi.org/10.4208/eajam.090312.190412a
UR - https://global-sci.org/intro/article_detail/eajam/10872.html
KW - Segmentation, Coefficient of Variation (CoV), level set, functional minimisation, Total Variation (TV).
AB - <p style="text-align: justify;">Most image segmentation techniques efficiently segment images with prominent
edges, but are less efficient for some images with low frequencies and overlapping
regions of homogeneous intensities. A recently proposed selective segmentation model
often works well, but not for such challenging images. In this paper, we introduce a
new model using the coefficient of variation as a fidelity term, and our test results show
it performs much better in these challenging cases.</p>